{"id":"https://openalex.org/W2951810729","doi":"https://doi.org/10.18653/v1/p19-1390","title":"Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays","display_name":"Give Me More Feedback II: Annotating Thesis Strength and Related Attributes in Student Essays","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2951810729","doi":"https://doi.org/10.18653/v1/p19-1390","mag":"2951810729"},"language":"en","primary_location":{"id":"doi:10.18653/v1/p19-1390","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1390","pdf_url":"https://www.aclweb.org/anthology/P19-1390.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/P19-1390.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073534200","display_name":"Zixuan Ke","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zixuan Ke","raw_affiliation_strings":["Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070179144","display_name":"Hrishikesh Inamdar","orcid":null},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hrishikesh Inamdar","raw_affiliation_strings":["Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029920666","display_name":"Hui Lin","orcid":"https://orcid.org/0000-0002-6559-2751"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Lin","raw_affiliation_strings":["Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004305684","display_name":"Vincent Ng","orcid":"https://orcid.org/0000-0002-5114-3883"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent Ng","raw_affiliation_strings":["Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Language Technology Research Institute University of Texas at Dallas Richardson, TX 75083-0688","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5073534200"],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3994","last_page":"4004"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9891999959945679,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/rubric","display_name":"Rubric","score":0.9438763856887817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7403758764266968},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6207854747772217},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5840603709220886},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.4340391159057617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34900519251823425},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3485420346260071},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.34499043226242065},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.32095640897750854},{"id":"https://openalex.org/keywords/mathematics-education","display_name":"Mathematics education","score":0.1980663239955902},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1571473479270935},{"id":"https://openalex.org/keywords/epistemology","display_name":"Epistemology","score":0.09996789693832397}],"concepts":[{"id":"https://openalex.org/C111640148","wikidata":"https://www.wikidata.org/wiki/Q847349","display_name":"Rubric","level":2,"score":0.9438763856887817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7403758764266968},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6207854747772217},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5840603709220886},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.4340391159057617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34900519251823425},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3485420346260071},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.34499043226242065},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32095640897750854},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.1980663239955902},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1571473479270935},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.09996789693832397},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/p19-1390","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1390","pdf_url":"https://www.aclweb.org/anthology/P19-1390.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/p19-1390","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/p19-1390","pdf_url":"https://www.aclweb.org/anthology/P19-1390.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8199999928474426}],"awards":[{"id":"https://openalex.org/G4162813058","display_name":"RI: Small: Fast, Scalable Joint Inference for NLP using Markov Logic","funder_award_id":"1528037","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6231399083","display_name":"EAGER: Automatic Identification of Bug Description Elements","funder_award_id":"1848608","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2951810729.pdf","grobid_xml":"https://content.openalex.org/works/W2951810729.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W124768838","https://openalex.org/W162015621","https://openalex.org/W174933446","https://openalex.org/W205093244","https://openalex.org/W584379653","https://openalex.org/W1563776072","https://openalex.org/W2018896856","https://openalex.org/W2039133703","https://openalex.org/W2096879700","https://openalex.org/W2101234009","https://openalex.org/W2111499444","https://openalex.org/W2124725212","https://openalex.org/W2131774270","https://openalex.org/W2154664215","https://openalex.org/W2165608467","https://openalex.org/W2251625298","https://openalex.org/W2251931307","https://openalex.org/W2493916176","https://openalex.org/W2567547739","https://openalex.org/W2739591798","https://openalex.org/W2740592764","https://openalex.org/W2758067238","https://openalex.org/W2836721302","https://openalex.org/W2885608537","https://openalex.org/W2898637464","https://openalex.org/W2963591087","https://openalex.org/W3092729255","https://openalex.org/W3124522743"],"related_works":["https://openalex.org/W1987813225","https://openalex.org/W4390610055","https://openalex.org/W4379053243","https://openalex.org/W3021020626","https://openalex.org/W2955201676","https://openalex.org/W2153005530","https://openalex.org/W3199392376","https://openalex.org/W4321385307","https://openalex.org/W2330342969","https://openalex.org/W4213362990"],"abstract_inverted_index":{"While":[0],"the":[1,40,83,92,95],"vast":[2],"majority":[3],"of":[4,25,42,51,64,74,97],"existing":[5],"work":[6,20],"on":[7,13,21,111],"automated":[8],"essay":[9,26,32,66,114],"scoring":[10,22,33,58],"has":[11],"focused":[12],"holistic":[14],"scoring,":[15],"researchers":[16],"have":[17],"recently":[18],"begun":[19],"specific":[23],"dimensions":[24],"quality.":[27],"Nevertheless,":[28],"progress":[29],"in":[30,37,48],"dimensionspecific":[31],"research":[34],"is":[35],"hindered":[36],"part":[38],"by":[39,103],"lack":[41],"annotated":[43],"corpora.":[44],"To":[45],"facilitate":[46],"advances":[47],"this":[49],"area":[50],"research,":[52],"we":[53],"design":[54],"a":[55,72,116],"rubric":[56],"for":[57],"an":[59],"important,":[60],"yet":[61],"unexplored":[62],"dimension":[63],"persuasive":[65],"quality,":[67],"thesis":[68,77,88,118],"strength,":[69],"and":[70,90],"annotate":[71,91],"corpus":[73],"essays":[75,93],"with":[76,94],"strength":[78,89,119],"scores.":[79],"We":[80],"additionally":[81],"identify":[82],"attributes":[84],"that":[85],"could":[86,106],"impact":[87],"values":[96],"these":[98],"attributes,":[99],"which,":[100],"when":[101],"predicted":[102],"computational":[104],"models,":[105],"provide":[107],"feedback":[108],"to":[109],"students":[110],"why":[112],"her":[113],"receives":[115],"particular":[117],"score.":[120]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}